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Publications

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Pebble orientation on large, experimental debris-flow deposits

Replicable, pronounced orientation of discoid pebbles (≥8 mm) embedded on surfaces of large (∼10 m3) experimental debris-flow deposits reveals that strongly aligned, imbricate fabric can develop rapidly over short distances in mass flows. Pebble long axes aligned subparallel to deposit margins as well as subparallel to margins of surge waves arrested within the deposits. Pebble alignment exhibited
Authors
J. J. Major

The frequency and distribution of recent landslides in three montane tropical regions of Puerto Rico

Landslides are common in sttep mountainous areas of Puerto Rico where mean annual rainfall and the frequency of intense storms are high. Each year, landslides cause extensive damage to property and coccasionally result in loss of life. Average population density is high, 422 people/km2, and is increasing. This increase in population density is accompanied by growing stress on the natural environme
Authors
M. C. Larsen, A. J. Torres-Sanchez

Surface deformation as a guide to kinematics and three-dimensional shape of slow-moving, clay-rich landslides, Honolulu, Hawaii

Two slow-moving landslides in Honolulu, Hawaii, were the subject of photogrammetric measurements, field mapping, and subsurface investigation to learn whether surface observations can yield useful information consistent with results of subsurface investigation. Mapping focused on structural damage and on surface features such as scarps, shears, and toes. The x-y-z positions of photo-identifiable p
Authors
R.L. Baum, J. Messerich, R. W. Fleming

Automated detection of Pi 2 pulsations using wavelet analysis: 1. Method and an application for substorm monitoring

Wavelet analysis is suitable for investigating waves, such as Pi 2 pulsations, which are limited in both time and frequency. We have developed an algorithm to detect Pi 2 pulsations by wavelet analysis. We tested the algorithm and found that the results of Pi 2 detection are consistent with those obtained by visual inspection. The algorithm is applied in a project which aims at the nowcasting of s
Authors
M. Nose, T. Iyemori, M. Takeda, T. Kamei, D. K. Milling, D. Orr, H. J. Singer, E. W. Worthington, N. Sumitomo

Temperature, snowmelt, and the onset of spring season landslides in the central Rocky Mountains

Snow meltwater (snowmelt) that seeps into the subsurface is a major factor contributing to the development of landslides during the spring in mountainous areas of the Rocky Mountain region. An examination of historical temperature data in relation to spring season landslide occurrences reveals an association between the landslide events and intervals of rising temperatures that accelerate the prod
Authors
Alan F. Chleborad

The variability of PSV response spectra across a dense array deployed during the Northridge aftershock sequence

This study addresses the variability of pseudo-velocity response spectra across an array deployed on stiff soil in the San Fernando Valley during the Northridge (Mw 6.7) aftershock sequence. The separation between stations ranged from 0.5 to 5 km, and the aftershock magnitudes ranged from 2.3 to 4.0. We find that 95-percent of observed response spectra are within a factor of 1.9 to 2.6 of the netw
Authors
Edward H. Field, Susan E. Hough

Digital compilation of landslide overview map of the conterminous United States

This dataset consists of polygons enclosing areas of landslide incidence and susceptibility for the conterminous United States.
Authors
Jonathan W. Godt, Dorothy H. Radbruch-Hall

Debris-flow mobilization from landslides

Field observations, laboratory experiments, and theoretical analyses indicate that landslides mobilize to form debris flows by three processes: (a) widespread Coulomb failure within a sloping soil, rock, or sediment mass, (b) partial or complete liquefaction of the mass by high pore-fluid pressures, and (c) conversion of landslide translational energy to internal vibrational energy (i.e. granular
Authors
Richard M. Iverson, Mark E. Reid, Richard G. Lahusen

Predicting landslide vegetation in patches on landscape gradients in Puerto Rico

We explored the predictive value of common landscape characteristics for landslide vegetative stages in the Luquillo Experimental Forest of Puerto Rico using four different analyses. Maximum likelihood logistic regression showed that aspect, age, and substrate type could be used to predict vegetative structural stage. In addition it showed that the structural complexity of the vegetation was great

Authors
R.W. Myster, J.R. Thomlinson, M. C. Larsen